Gm Global Technolgoy Operations, Inc.

University of Ottawa

Ramesh Sethu

Arun Adiththan

Prakash Mohan Peranandam

Md Mhafuzul Islam

Bakhtiar Brian Litkouhi

Paolo Giusto

Anil Kumar Sachdev

Shih-Ken Chen

SeyedAlireza Kasaiezadeh Mahabadi

Shige Wang

Qingrong Zhao

Wen-Chiao Lin

Roy J Mathieu

Shiming Duan

Azeem Sarwar

Wenyuan Qi

Anil Bika

Nathan F Thompson

Aravind Gangumalla

Farui Peng

Osman Eser Atesoglu

Amirhossein Zolfagharian

Zohreh Aghababaeyan

A system for providing situational recommendations within a vehicle includes a system controller in communication with a plurality of onboard sensors, the plurality of onboard sensors adapted to collect real-time data related to a location of the vehicle and operating conditions of the vehicle, a database in communication with the system controller adapted to store data related to past actions and data related to a location of the vehicle and operating conditions of the vehicle when such past actions occurred, the system controller including a driver specific machine learning model adapted to predict a desired action based on the real-time data related to the location and operating conditions of the vehicle and data from the database, the system controller further adapted to initiate the predicted desired action, receive input from an occupant within the vehicle, and update the driver specific machine learning model.

Situational recommendations and control

A system and method for locating a trailer coupler on a trailer to assist with the coupling of the trailer coupler to a vehicle hitch on a vehicle. The system includes a human-machine interface, a vehicle camera and a trailer camera, a mobile device application (App) with access to camera and mobile network a vehicle-to-infrastructure communication network, controllers, a memory, sensors, and a trailer detection and trajectory planning application. The application includes: initializing a data stream from the vehicle and trailer camera, capturing the data stream from the vehicle camera and from the trailer camera, determining key landmarks in the data stream, combining the key landmarks, determining a coupler location, computing a joint reference trajectory using the coupler location, and providing navigation assistance in real time based on the joint reference trajectory.

System and method for detecting a trailer coupler and planning a trajectory

A method for using idle computing power of an electric vehicle includes receiving computing tasks while the electric vehicle is electrically connected to a charging infrastructure, accepting to perform the computing tasks while the electric vehicle is electrically connected to the charging infrastructure, and in response to accepting to perform the computing tasks, performing the computing tasks while the electric vehicle is electrically connected to the charging infrastructure.

Method and system for using idle computing power of an electric vehicle

A system for controlling an ego vehicle following a lead vehicle without vehicle-to-vehicle (V2V) communication includes sensors disposed on the ego vehicle and capturing ego and lead vehicle condition information. Control modules disposed in the ego vehicle each have a processor, memory, and input/output (I/O) ports. The I/O ports communicate with the one or more sensors. The memory stores control logic, and the processor executes the control logic, including a lead vehicle following (LVF) application. A first control logic receives a start input from a vehicle occupant via a human-machine interface (HMI) in communication with the I/O ports. A second control logic performs a feasibility analysis of ego and lead vehicle conditions according to feasibility conditions. A third control logic selectively initiates lead vehicle following. A fourth control logic continuously monitors feasibility of lead vehicle following, and fifth control logic selectively disables the LVF application upon receiving a disengagement command.

Method for following a lead vehicle without vehicle-to-vehicle communication

A motor vehicle motion control health monitoring system includes sensors and actuators disposed on the motor vehicle. The sensors measure real-time static and dynamic telemetry data about the motor vehicle, and the actuators alter static and dynamic behavior of the motor vehicle. A control module has a processor, a memory, and input/output (I/O) ports. The processor executes program code portions stored in the memory, the program code portions include: an offline portion that collects telemetry data from the motor vehicle, performs failure analysis on the telemetry data and allocates tasks based on the failure analysis; and an online portion that analyzes the telemetry data for failures within specific sensors, actuators, or functions that utilize systems of sensors and/or actuators. The online portion mitigates deviations in the telemetry data by sending a correction to the one or more sensors, actuators, and/or functions of a motor vehicle motion control system.

Architecture and methodology for vehicle motion control health monitoring and mitigation

A method in an On-Demand Autonomy system includes: monitoring for a trip change request from a plurality of platoon vehicles including a first leader vehicle (Lv) and a follower vehicle (Fv). When a trip termination request is received from a platoon vehicle, the method includes broadcasting information regarding the request to the other platoon vehicles, and monitoring for an acknowledgement of the request. When the trip termination request originated from the first Lv, the method includes electing a new Lv, computing a rendezvous point for the new Lv and the Fv, and signaling the Fv and new Lv regarding the rendezvous point. When a trip modification request is received from the Fv, the method includes broadcasting information regarding the request to the first Lv, electing a new Lv, computing a rendezvous point for the new Lv and the Fv, and signaling the Fv and new Lv regarding the rendezvous point.

System amd method for providing a ride assistant for on-demand autonomy

A resource sharing marketplace platform includes a back-office server including a controller adapted to run a plurality of integrated systems and a wireless communication module in communication with the controller, wherein, the resource sharing marketplace platform is adapted to receive a request from a user, collect data from a plurality of acceptable service providers, and provide a response to the user.

Electronics and data resource sharing marketplace platform

A computing system including a cooperative system architecture for cataloging, informing, sharing, and managing engineering assets within an organization includes a user management subsystem for creating a registered user profile associated with a specific user of the computing system. The registered user profile includes user metadata that provides identifying characteristics of the specific user. The computing system includes an asset management subsystem including an asset repository for recording one or more engineering assets. The asset management subsystem modifies the user metadata of the registered user profile in response to the specific user recording an engineering asset in the asset repository. The computing system includes a test management subsystem including a test repository for recording one or more test bill of materials.

Cooperative system architecture for engineering asset management and sharing

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Troy, MI, United States of America

Ramesh Sethu